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Functional degrees of inclusion and similarity between L-fuzzy sets

机译:L模糊集之间的功能包含度和相似度

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摘要

Inclusion is one of the most basic relations between sets. In this paper, we show how to represent the degree of inclusion between two L-fuzzy sets via a function. Specifically, such a function determines the minimal modifications needed in an L-fuzzy set to be included (in Zadeh's sense) into another. To reach such a goal, firstly we present the notion of f-inclusion, which defines a family of crisp binary relations between L-fuzzy sets that are used as indexes of inclusion and, subsequently, we define the phi-degree of inclusion as the most suitable f-inclusion under certain criterion. In addition, we also present three phi-degrees of similarity definable from the phi-degree of inclusion. We show that the phi-degree of inclusion and the phi-degrees of similarities satisfy versions of many common axioms usually required for measures of inclusion and similarity in the literature. (c) 2019 Elsevier B.V. All rights reserved.
机译:包含是集合之间最基本的关系之一。在本文中,我们展示了如何通过函数表示两个 L 模糊集之间的包含度。具体来说,这样的函数决定了 L 模糊集合中需要的最小修改(在 Zadeh 的意义上)包含在另一个集合中。为了达到这样的目标,我们首先提出了f-包含的概念,它定义了L模糊集合之间的一系列清晰的二元关系,用作包含索引,然后,我们将phi-包含度定义为在一定准则下最合适的f-包含。此外,我们还提出了三个 phi 相似度,可从 phi 包含度定义。我们表明,包含的 phi 度和相似度的 phi 度满足文献中通常用于测量包含性和相似性所需的许多常见公理的版本。(c) 2019 年爱思唯尔 B.V.保留所有权利。

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